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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳炳宇(Bing-Yu Chen) | |
| dc.contributor.author | Wei-Ting Lin | en |
| dc.contributor.author | 林瑋庭 | zh_TW |
| dc.date.accessioned | 2021-06-15T16:43:48Z | - |
| dc.date.available | 2016-08-11 | |
| dc.date.copyright | 2015-08-11 | |
| dc.date.issued | 2015 | |
| dc.date.submitted | 2015-08-10 | |
| dc.identifier.citation | [1] Deeper Web Search Engine. http://deeperweb.com.
[2] Tien N Nguyen and Jun Zhang. A novel visualization model for web search results. Visualization and Computer Graphics, IEEE Transac- tions on, 12(5):981--988, 2006. [3] Emden R Gansner, Yifan Hu, and Stephen Kobourov. Gmap: Visual- izing graphs and clusters as maps. In Pacific Visualization Symposium (PacificVis), 2010 IEEE, pages 201--208. IEEE, 2010. [4] Yifan Hu Emden R. Gansner and Stephen G. Kobourov. Gmap: Draw- ing graphs as maps. [5] Daniel Fried and Stephen G Kobourov. Maps of computer science. In Pacific Visualization Symposium (PacificVis), 2014 IEEE, pages 113-- 120. IEEE, 2014. [6] Daniel Fried and Stephen G Kobourov. Maps of computer science homepage. [7] Newsmap. http://newsmap.jp/. [8] Radhakrishna Achanta and Sabine Süsstrunk. Saliency detection using maximum symmetric surround. In Image Processing (ICIP), 2010 17th IEEE International Conference on, pages 2653--2656. IEEE, 2010. [9] Stas Goferman, Lihi Zelnik-Manor, and Ayellet Tal. Context-aware saliency detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 34(10):1915--1926, 2012. 43 [10] Shai Avidan and Ariel Shamir. Seam carving for content-aware image resizing. In ACM Transactions on graphics (TOG), volume 26, page 10. ACM, 2007. [11] Yu-Shuen Wang, Chiew-Lan Tai, Olga Sorkine, and Tong-Yee Lee. Op- timized scale-and-stretch for image resizing. In ACM Transactions on Graphics (TOG), volume 27, page 118. ACM, 2008. [12] Che-Han Chang and Yung-Yu Chuang. A line-structure-preserving ap- proach to image resizing. In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pages 1075--1082. IEEE, 2012. [13] Mark Bruls, Kees Huizing, and Jarke J Van Wijk. Squarified treemaps. Springer, 2000. [14] Jiang Liang-fu, Chen Jing-liang, and Shi Yong-qin. Website design for book logistics based on e-commerce. In 2010 3rd International Confer- ence on Information Management, Innovation Management and Indus- trial Engineering, pages 496--500. IEEE, 2010. [15] Xue Linyan and Song Lijie. Design and implementation of online book- store based on asp. net and data mining technology. In 2010 Interna- tional Conference on Computer Application and System Modeling (IC- CASM 2010), volume 12, 2010. [16] Yanhui Zhang. Research on personalized e-bookstore service sys- tem. In Computing, Communication, Control, and Management, 2008. CCCM'08. ISECS International Colloquium on, volume 3, pages 259-- 262. IEEE, 2008. [17] Zhong-hua Deng and Qin Li. Upgrading the user experience of digital library. In Computer Science and Software Engineering, 2008 Interna- tional Conference on, volume 5, pages 832--835. IEEE, 2008. 44 [18] Emilio Di Giacomo, Walter Didimo, Luca Grilli, and Giuseppe Liotta. Whatsonweb: using graph drawing to search the web. In Graph Draw- ing, pages 480--491. Springer, 2006. [19] SenseBot Search Engine. http://www.sensebot.net. [20] Emden Gansner, Yifan Hu, Stephen Kobourov, and Chris Volinsky. Putting recommendations on the map: visualizing clusters and relations. In Proceedings of the third ACM conference on Recommender systems, pages 345--348. ACM, 2009. [21] Google News. https://news.google.com/. [22] Guo-Xin Zhang, Ming-Ming Cheng, Shi-Min Hu, and Ralph R Martin. A shape-preserving approach to image resizing. In Computer Graphics Forum, volume 28, pages 1897--1906. Wiley Online Library, 2009. [23] Steven Bleicher. Contemporary color: Theory and use. Cengage Learn- ing, 2011. [24] Jakob Nielsen and Kara Pernice. Eyetracking web usability. New Rid- ers, 2010. [25] Amazon.com website. http://www.amazon.com/. [26] Book Depository website. http://www.bookdepository.com/. [27] Nielsen Norman Group. How people read on the web: The eyetracking evidence. [28] Ben Shneiderman. Tree visualization with tree-maps: 2-d space-filling approach. ACM Transactions on graphics (TOG), 11(1):92--99, 1992. [29] Amazon Product Advertising API. http://docs.aws.amazon.com/awsec- ommerceservice/latest/dg/welcome.html. [30] Frank R Hampel. A general qualitative definition of robustness. The Annals of Mathematical Statistics, pages 1887--1896, 1971. 45 [31] Frank R Hampel. The influence curve and its role in robust estima- tion. Journal of the American Statistical Association, 69(346):383--393, 1974. [32] Michael Bostock, Vadim Ogievetsky, and Jeffrey Heer. D3 data-driven documents. Visualization and Computer Graphics, IEEE Transactions on, 17(12):2301--2309, 2011. [33] M Bostock. D3.js - data-driven documents. [34] Yahoo Mobile Version. https://m.yahoo.com/. [35] Facebook Mobile Version. https://m.facebook.com/. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/53090 | - |
| dc.description.abstract | In recent years, online bookstore has highly thrived and changed consumption behavior; nevertheless, most users usually browse the online bookstore only when they have a specific target to buy. They still enjoy visiting real bookstores. One of the reasons is that information on web bookstore is too complex for users to freely browse. In this paper, we present Bookwall, an online bookstore interface designed based on user experiences in physical bookstores. We proposed four designs in this work, including ``category map', ``gathering similar books', ``visualizing methodology to highlight wanted books', and ``wall view'. Category map is used to solve the problem of spending time on finding the particular category in classic category list on web bookstore. Similar books, like the same topics, series, same manufacturers, same author, and etc., are arranged together in physical bookstore. Gathering resembling books together enables users have more similar choices to browse or compare with each book. Visualizing technique is to highlight merchandises which meet users' demands. For instance, books with high score and massive number of reviews will have more area in the wall layout. In this case, if users want to find popular books, they can just focus on the books with large space. Modified from grid view, wall view hides basic information and only show book cover (unless the cursor is pointed to the book) so that it can display more books than traditional list view or grid view. These four designs are based on our observation and field study in physical bookstore, and we finally proposed an online bookstore interface which includes the above four designs to improve user experience in web bookstore and increase their intentions to browse online bookstore. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T16:43:48Z (GMT). No. of bitstreams: 1 ntu-104-R02944028-1.pdf: 35211781 bytes, checksum: 32e2098b066b52eb95be7fd08d2efd60 (MD5) Previous issue date: 2015 | en |
| dc.description.tableofcontents | 口試委員會審定書 i
致謝 ii 中文摘要 iii Abstract v Contents vii List of Figures ix List of Tables xiii 1 Introduction 1 1.1 Motivation.................................. 1 1.2 Bookwall .................................. 3 2 Related Literatures 4 2.1 User Interface................................ 4 2.2 Visualization ................................ 4 2.3 SaliencyMap ................................ 8 2.4 Content-Aware Image Resizing....................... 10 3 Interface 12 3.1 Field Study ................................. 12 3.2 Interface Design............................... 13 3.2.1 Category Map............................ 17 3.2.2 Similar books............................ 20 3.2.3 Highligh tbooks........................... 21 3.2.4 Wall Layout............................. 21 3.3 Implementation ............................... 24 3.3.1 Grids ................................ 25 3.3.2 Scrollable Container ........................ 29 3.3.3 ImageResizing........................... 30 3.4 Result.................................... 31 4 Evaluation 35 4.1 UserStudy ................................. 35 4.1.1 Design of Highlight......................... 35 4.2 Discussion.................................. 38 5 Conclusion 40 5.1 FeatureWork ................................ 40 5.1.1 Comprehensive User Study..................... 40 5.1.2 Responsive Web Design ...................... 40 5.1.3 Extension.............................. 41 5.2 Conclusion ................................. 42 Bibliography 43 | |
| dc.language.iso | en | |
| dc.subject | 使用者介面設計 | zh_TW |
| dc.subject | 網路書店 | zh_TW |
| dc.subject | 視覺化 | zh_TW |
| dc.subject | 影像縮放 | zh_TW |
| dc.subject | Visualization | en |
| dc.subject | User Interface Design | en |
| dc.subject | Online Bookstore | en |
| dc.subject | Image Resizing | en |
| dc.title | 基於實體書店使用者體驗之網路書店介面設計 | zh_TW |
| dc.title | Bookwall: An Online Bookstore Interface Based on User Experience in Physical Bookstore | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 103-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 林文杰(Wen-Chieh Lin),王昱舜(Yu-Shuen Wang),朱宏國(Hung-Kuo Chu),梁容豪(Rong-Hao Liang) | |
| dc.subject.keyword | 網路書店,使用者介面設計,視覺化,影像縮放, | zh_TW |
| dc.subject.keyword | Online Bookstore,User Interface Design,Visualization,Image Resizing, | en |
| dc.relation.page | 46 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2015-08-10 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊網路與多媒體研究所 | zh_TW |
| 顯示於系所單位： | 資訊網路與多媒體研究所 | |
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| ntu-104-1.pdf 未授權公開取用 | 34.39 MB | Adobe PDF |
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